Electrical Engineering & Computer Science

My interests lie broadly in theoretical computer science, particularly in the construction of useful primitives for communication and computation. In the past, I have worked on building error-correcting codes, expander graphs, and cryptographic proof systems. I am particularly interested in connections between these objects, and also in understanding the tools needed to construct these objects explicitly.

Host: Venkatesan Guruswami

Ph.D. Institution: MIT

Miroslav Krstic designs feedback controllers for stabilization and optimization of nonlinear systems and systems modeled by partial differential equations. He recently integrated machine learning into rigorous PDE control, for a thousandfold acceleration in online implementation, with mathematical guarantees retained. His work with industry and national labs has been in semiconductor photolithography and charged-particle accelerators. Krstic's line of controllers for unstable traffic flows was inspired by his Springer Professor stay at Berkeley in 2007.

Host: Alexandre Bayen
Home Institution...

Professor Laura Waller develops computational imaging systems that combine optics, algorithms, and machine learning to enable new forms of microscopy and sensing. Her research focuses on designing low-cost, high-performance imaging platforms that can recover 3D structure, phase, and super-resolution information beyond the limits of traditional hardware. By integrating physical models with data-driven methods, her group advances computational microscopy techniques for applications spanning biology, medicine, and scientific discovery.

Prof. Gitti Frey’s research investigates the fundamental structure-property relationships governing organic electronic devices, bridging the gap between physical chemistry, materials processing, and practical device engineering. Her work decodes how the microstructure of organic semiconductor films and blends can be harnessed to direct the performance of solar cells, light-emitting diodes, and transistors. Utilizing a plethora of spectroscopic and microscopic characterization tools, she establishes the design rules for charge transport and generation at organic interfaces. These insights...

Anat Levin has worked on multiple topics at the intersection of computer vision, computer graphics, optics, and biomedical imaging. She has addressed a variety of topics including image restoration, computational cameras, scattering, and holographic displays. Most recently, Anat Levin is interested in developing computational microscopes that can image deep inside scattering tissue and overcome the scattering aberration caused by tissue inhomogeneity. In particular, she has developed wavefront shaping systems that can correct tissue aberrations in the optical path, allowing for high SNR...

Materials interfaces are complex and sensitive. Their nanoscale heterogeneity, reactivity, and passivation characteristics govern device performance. Understanding and designing functional materials interfaces are key to achieving high-performance devices. As a Miller Fellow, I aim to develop and characterize functional materials interfaces that enable next-generation electronic hardware.

Host: Sayeef Salahuddin (Electrical Engineering & Computer Science), Nitash Balsara (Chemical & Biomolecular Engineering)

Ph.D. Institution: Stanford University

My research bridges physics and engineering, focusing on nanoscale light-matter interactions and the design of metamaterials for imaging, optical information processing, and X-ray technologies. Some of my recent interests include understanding and controlling structured illumination to induce different optical responses in materials. At Berkeley, I will develop ultracompact multi-dimensional imaging systems and computational algorithms to advance the frontier of co-designed hardware and software.

Host: Laura Waller, Boubacar Kante

Ph.D. Institution: Stanford University

Professor Claire Tomlin works in hybrid systems and control, and integrates machine learning methods with control theoretic methods in the field of safe learning. She works in the applications of air traffic and unmanned air vehicle systems. She also works in the application of these methods to biological systems, with developmental biologists, cancer researchers, and ecologists. She is the James and Katherine Lau Professor of Engineering at Berkeley, and a Professor in Electrical Engineering and Computer Sciences (EECS). She was an Assistant, Associate, and Full Professor at Stanford from...

My interests are mainly in quantum information and numerical linear algebra. Broadly, I wish to understand in which domains quantum computers could give significant speedups over classical computers. My past work includes showing that certain classes of "quantum machine learning" algorithms can be simulated with classical algorithms better than previously expected; and giving better algorithms to characterize quantum systems.

Host: Umesh Vazirani

Ph.D. Institution: University of Washington

I have a broad interest in theoretical computer science, in particular on fine-grained complexity and algorithm design. I study algorithms and conditional lower bounds for fundamental computational problems in combinatorial optimization, pattern matching, graph theory, and computational geometry. I am also interested in algorithmic applications of algebraic methods and additive combinatorics.

Host: Jelani Nelson

Ph.D. Institution: MIT